IDEAS home Printed from https://ideas.repec.org/p/siu/wpaper/02-2008.html
   My bibliography  Save this paper

Two-sample estimation of poverty rates for disabled people: an application to Tanzania

Author

Listed:
  • Tomoki Fujii

    (School of Economics, Singapore Management University)

Abstract

Estimating poverty measures for disabled people in developing countries is difficult,partly because relevant data are not available. We develop two methods to estimate poverty by the disability status of the household head. We extend the small area estimation proposed by Elbers, Lanjouw and Lanjouw (2002, 2003) so that we can run a regression on head's disability status even when such information is unavailable in the survey. We do so by aggregation and by moment adjusted two sample instrumental variable estimation. Our results from Tanzania show that both methods work well, and that disability is indeed associated with poverty.

Suggested Citation

  • Tomoki Fujii, 2008. "Two-sample estimation of poverty rates for disabled people: an application to Tanzania," Working Papers 02-2008, Singapore Management University, School of Economics.
    • Handle: RePEc:siu:wpaper:02-2008
    as

    Download full text from publisher

    File URL: https://mercury.smu.edu.sg/rsrchpubupload/10945/est_tz.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    2. Currie, Janet & Yelowitz, Aaron, 2000. "Are public housing projects good for kids?," Journal of Public Economics, Elsevier, vol. 75(1), pages 99-124, January.
    3. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    4. Chris Elbers & Peter F. Lanjouw & Johan A. Mistiaen & Berk Özler & Ken Simler, 2004. "On the Unequal Inequality of Poor Communities," The World Bank Economic Review, World Bank, vol. 18(3), pages 401-421.
    5. Bjorklund, Anders & Jantti, Markus, 1997. "Intergenerational Income Mobility in Sweden Compared to the United States," American Economic Review, American Economic Association, vol. 87(5), pages 1009-1018, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomoki Fujii, 2013. "Geographic decomposition of inequality in health and wealth: evidence from Cambodia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 373-392, September.
    2. Araujo, M. Caridad & Ferreira, Francisco H.G. & Lanjouw, Peter & Özler, Berk, 2008. "Local inequality and project choice: Theory and evidence from Ecuador," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1022-1046, June.
    3. Emwanu, Thomas & Hoogeveen, Johannes G. & Okiira Okwi, Paul, 2006. "Updating Poverty Maps with Panel Data," World Development, Elsevier, vol. 34(12), pages 2076-2088, December.
    4. Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
    5. Claudio A. Agostini & Philip H. Brown, 2010. "Local Distributional Effects Of Government Cash Transfers In Chile," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 366-388, June.
    6. Coulombe, Harold & Wodon, Quentin, 2008. "Assessing the geographic impact of higher food prices in Guinea," Policy Research Working Paper Series 4743, The World Bank.
    7. Rucker C. Johnson & C. Kirabo Jackson, 2019. "Reducing Inequality through Dynamic Complementarity: Evidence from Head Start and Public School Spending," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 310-349, November.
    8. Piyush Kant Rai & Sarla Pareek & Hemlata Joshi, 2017. "Met And Unmet Need For Contraception: Small Area Estimation For Rajasthan State Of India," Statistics in Transition New Series, Polish Statistical Association, vol. 18(2), pages 329-360, June.
    9. Arouri, Mohamed & Nguyen, Cuong & Youssef, Adel Ben, 2015. "Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam," World Development, Elsevier, vol. 70(C), pages 59-77.
    10. Tarozzi, Alessandro, 2011. "Can census data alone signal heterogeneity in the estimation of poverty maps?," Journal of Development Economics, Elsevier, vol. 95(2), pages 170-185, July.
    11. Rimisp, 2008. "Investigación Aplicada de Dinámicas Territoriales Rurales en América Latina: Marco Metodológico. Versión 2," Working papers 002, Rimisp Latin American Center for Rural Development.
    12. Beatrice Lorge Rogers & James Wirth & Kathy Macías & Parke Wilde, 2007. "Mapping Hunder: A Report on Mapping Malnutrition Prevalence in the Dominican Republic, Ecuador, and Panama," Working Papers in Food Policy and Nutrition 34, Friedman School of Nutrition Science and Policy.
    13. Lanjouw, P. & Marra, M.R., 2018. "Urban poverty across the spectrum of Vietnam’s towns and cities," World Development, Elsevier, vol. 110(C), pages 295-306.
    14. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
    15. Marcel Fafchamps & Christine Moser, 2003. "Crime, Isolation and Law Enforcement," Journal of African Economies, Centre for the Study of African Economies, vol. 12(4), pages 625-671, December.
    16. Xiang, Di & Zhan, Lue & Bordignon, Massimo, 2020. "A reconsideration of the sugar sweetened beverage tax in a household production model," Food Policy, Elsevier, vol. 95(C).
    17. World Bank, 2004. "Morocco - Poverty Report : Strengthening Policy by Identifying the Geographic Dimension of poverty," World Bank Publications - Reports 14420, The World Bank Group.
    18. Massimo Bordignon & Di Xiang & Lue Zhan, 2018. "Predicting the Effects of a Sugar Sweetened Beverage Tax in a Household Production Model," DISCE - Working Papers del Dipartimento di Economia e Finanza def075, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    19. Tara Vishwanath & Dhiraj Sharma & Nandini Krishnan & Brian Blankespoor, 2015. "Where are Iraq’s Poor?," World Bank Publications - Reports 22351, The World Bank Group.
    20. Modrego, Félix & Berdegué, Julio A., 2015. "A Large-Scale Mapping of Territorial Development Dynamics in Latin America," World Development, Elsevier, vol. 73(C), pages 11-31.

    More about this item

    Keywords

    poverty; disability; Tanzania; aggregation; two-sample instrumental variable estimation;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:siu:wpaper:02-2008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: QL THor (email available below). General contact details of provider: https://edirc.repec.org/data/sesmusg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.